Authorship identification can be seen as a single-label multi-class text categorization problem. Very often, there are extremely few training texts at least for some of the candida...
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Our earlier work for fast evaluation of power consumption of general cores in a system-on-a-chip described techniques that involved isolating high-level instructions of a core, me...
This paper explores an application-specific customization technique for the data cache, one of the foremost area/power consuming and performance determining microarchitectural fea...
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...